Pieter Noordhuis

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 1,078 researchers here, as inferred from the citation graph.

Subfields

Whom Pieter Noordhuis trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Shaoqing Ren
  6. Christian Szegedy
  7. Yann LeCun
  8. Sergey Ioffe
  9. Tsung-Yi Lin
  10. Karen Simonyan

Who trusts Pieter Noordhuis overall

  1. Kaiming He
  2. Christoph Feichtenhofer
  3. Yang You
  4. Xinlei Chen
  5. Ross B. Girshick
  6. Soham De
  7. Samuel L. Smith
  8. Jiahui Yu
  9. X. Wang
  10. Yanghao Li

Papers from Pieter Noordhuis's perspective

Ordered by how strongly the researchers Pieter Noordhuis trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Going deeper with convolutions
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers